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[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications
J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …
[HTML][HTML] Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
J Yuan, Y Zhang, Z Zheng, W Yao, W Wang, L Guo - Drones, 2024 - mdpi.com
Preharvest crop yield estimation is crucial for achieving food security and managing crop
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …
On crop yield modelling, predicting, and forecasting and addressing the common issues in published studies
There has been a recent surge in the number of studies that aim to model crop yield using
data-driven approaches. This has largely come about due to the increasing amounts of …
data-driven approaches. This has largely come about due to the increasing amounts of …
[HTML][HTML] Oilseed Rape Yield Prediction from UAVs Using Vegetation Index and Machine Learning: A Case Study in East China
H Hu, Y Ren, H Zhou, W Lou, P Hao, B Lin, G Zhang… - Agriculture, 2024 - mdpi.com
Yield prediction is an important agriculture management for crop policy making. In recent
years, unmanned aerial vehicles (UAVs) and spectral sensor technology have been widely …
years, unmanned aerial vehicles (UAVs) and spectral sensor technology have been widely …
Advancements in UAV Remote Sensing for Agricultural Yield Estimation: A Systematic Comprehensive Review of Platforms, Sensors, and Data Analytics
Traditional yield estimation approaches are quite tedious, time-consuming, and labor-
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
[HTML][HTML] Prediction of winter wheat nitrogen status using UAV imagery, weather data, and machine learning
The critical nitrogen dilution curve (CNDC) and associated nitrogen nutrition index (NNI) are
known to provide valuable information indicating whether the crops are experiencing luxury …
known to provide valuable information indicating whether the crops are experiencing luxury …
A Study on Anaphylactic-shock Forecasting System with Knowledge-Based Intelligent Architecture
A serious and potentially fatal allergic reaction Anaphylaxis requires prompt diagnosis and
treatment. Accurate prediction of anaphylaxis is vital for preventing severe outcomes and …
treatment. Accurate prediction of anaphylaxis is vital for preventing severe outcomes and …
Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India
S Koley, SN Kumar - Environmental Monitoring and Assessment, 2024 - Springer
Flash floods in mountainous regions like the Himalayas are considered to be common
natural calamities. Their consequences often are more dangerous than any flood event in …
natural calamities. Their consequences often are more dangerous than any flood event in …
Research Progress in Rice Yield Estimation Method Based on Low-altitude Unmanned Aerial Vehicle Remote Sensing
X FENG, A WANG, W HONG, Z LI, J QIN… - Chinese Journal OF …, 2024 - ricesci.cn
Rice is one of the primary staple crops. Its yield estimation plays a crucial role in the macro-
control of national policies, real-time guidance according to local agricultural conditions, and …
control of national policies, real-time guidance according to local agricultural conditions, and …
基于低空无人机遥感的水稻产量估测方法研究进展
冯向前, 王爱冬, 洪卫源, **子秋, 覃金华, 詹丽钏… - **水稻科学, 2024 - ricesci.cn
水稻作为主要的粮食作物之一, 其产量估测对国家政策宏观调控, 地方农情实时指导以及优良
品种的定向培育都起着至关重要的作用. 随着作物学科及其交叉学科的不断进步 …
品种的定向培育都起着至关重要的作用. 随着作物学科及其交叉学科的不断进步 …